SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2676–2700 of 14581 papers

TitleStatusHype
What Makes for Good Views for Contrastive Learning?—0
Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN—0
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-ConsistencyCode1
Deep learning classification of chest x-ray images—0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural NetworksCode0
Spatial Information Considered Network for Scene ClassificationCode0
End-to-End Lip Synchronisation Based on Pattern Classification—0
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification—0
Interaction Matching for Long-Tail Multi-Label Classification—0
Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis—0
Text Classification with Few Examples using Controlled Generalization—0
Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspectiveCode1
Learn Class Hierarchy using Convolutional Neural NetworksCode0
Classification of Spam Emails through Hierarchical Clustering and Supervised Learning—0
Two-View Fine-grained Classification of Plant Species—0
Review on Computer Vision in Gastric Cancer: Potential Efficient Tools for Diagnosis—0
The Role of Randomness and Noise in Strategic Classification—0
LiSSS: A toy corpus of Spanish Literary Sentences for Emotions detection—0
Neural Networks for Fashion Image Classification and Visual SearchCode0
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformationsCode0
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks—0
iCapsNets: Towards Interpretable Capsule Networks for Text Classification—0
A Robust Experimental Evaluation of Automated Multi-Label Classification MethodsCode0
Towards classification parity across cohorts—0
Encryption Inspired Adversarial Defense for Visual Classification—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified